Skip to main content

Your Project with Great Documentation

Project description

portray - Your Project with Great Documentation.


PyPI version Build Status codecov Join the chat at https://gitter.im/timothycrosley/portray License Downloads


Read Latest Documentation - Browse GitHub Code Repository


The only thing worse than documentation never written, is documentation written but never discovered.

portray is a Python3 command line tool and library that helps you create great documentation websites for your Python projects with as little effort as possible.

Example Usage Gif

Key Features:

  • Zero-Config: No configuration is necessary to use portray. Just run portray in the root of your Python project and it will find your documentation.
  • Statically Generated: portray websites are easy to host on GitHub pages and other similar services as they are outputted as standard static HTML websites.
  • Markdown Aware: portray will automatically include your projects .md files and render them into HTML. It will also find and render Markdown within __doc__ strings.
  • Fully Configurable: While portray doesn't have to be configured, you still can fully configure it within the standard pyproject.toml file.
  • Easily Programmable: portray exposes a clean and simple Python API.
  • Searchable: Out of the box portray makes all of your documentation, even autogenerated code references, free-text searchable.
  • Themeable: portray is compatible with all existing MkDocs Themes.

Under the hood, portray combines the Markdown documentation rendering capabilities provided by MkDocs with the automatic reference documentation generated by pdocs.

Quick Start

The following guides should get you up and running with a documentation website in no time.

  1. Installation - TL;DR: Run pip3 install portray within your projects virtual environment.
  2. Command Line Usage - TL;DR: Run portray in_browser to test and portray on_github_pages to deploy.
  3. API Usage - TL;DR: Everything available via the CLI is also easily available programmatically from within Python.
  4. Configuration - TL;DR: Put all configuration within a [tool.portray] section of your pyproject.toml file.

Why Create Portray?

I create a lot of Python projects and I've always wanted a quick way to build documentation sites for them that included both manually written guides and autogenerated reference documentation. Tools have improved over the years, but still nothing has given me this experience out of the box. Portray isn't a competitor for the 2 newer Python documentation projects (pdocs and MkDocs), rather it is melding of them together to give me the quick to create and comprehensive documentation website generation I've always wanted.

Thanks and I hope you too find portray useful!

~Timothy Crosley

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

portray-1.5.2.tar.gz (13.5 kB view details)

Uploaded Source

Built Distribution

portray-1.5.2-py3-none-any.whl (14.0 kB view details)

Uploaded Python 3

File details

Details for the file portray-1.5.2.tar.gz.

File metadata

  • Download URL: portray-1.5.2.tar.gz
  • Upload date:
  • Size: 13.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.8.6 Linux/5.8.0-7642-generic

File hashes

Hashes for portray-1.5.2.tar.gz
Algorithm Hash digest
SHA256 c8a3d489cfc95df6922868971996bb23584d37e46aa55e7ab9b6d29aa49f109d
MD5 ca2e5487a1684a95e8194bae17c8b527
BLAKE2b-256 23190a3a4db86a620a2aad94d78209f29f5e0f6f91a823c2bb50903d16569364

See more details on using hashes here.

File details

Details for the file portray-1.5.2-py3-none-any.whl.

File metadata

  • Download URL: portray-1.5.2-py3-none-any.whl
  • Upload date:
  • Size: 14.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.4 CPython/3.8.6 Linux/5.8.0-7642-generic

File hashes

Hashes for portray-1.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 40c6dfbff392f16a5c56c93aa79356b4ee25aa2d00579d61b560445ec4d3dc47
MD5 696e3fa58bde9dec57e005bbdbf2ee64
BLAKE2b-256 859502d002f1ec78bfc896e15bbcb3707b721ee92b91072ff43ee9796cd2226b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page